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Smurfness‐based two‐phase model of ageing helps deconvolve the ageing transcriptional signature
Ageing is characterised at the molecular level by six transcriptional ‘hallmarks of ageing’, that are commonly described as progressively affected as time passes. By contrast, the ‘Smurf’ assay separates high‐and‐constant‐mortality risk individuals from healthy, zero‐mortality risk individuals, base...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652310/ https://www.ncbi.nlm.nih.gov/pubmed/37822253 http://dx.doi.org/10.1111/acel.13946 |
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author | Zane, Flaminia Bouzid, Hayet Sosa Marmol, Sofia Brazane, Mira Besse, Savandara Molina, Julia Lisa Cansell, Céline Aprahamian, Fanny Durand, Sylvère Ayache, Jessica Antoniewski, Christophe Todd, Nicolas Carré, Clément Rera, Michael |
author_facet | Zane, Flaminia Bouzid, Hayet Sosa Marmol, Sofia Brazane, Mira Besse, Savandara Molina, Julia Lisa Cansell, Céline Aprahamian, Fanny Durand, Sylvère Ayache, Jessica Antoniewski, Christophe Todd, Nicolas Carré, Clément Rera, Michael |
author_sort | Zane, Flaminia |
collection | PubMed |
description | Ageing is characterised at the molecular level by six transcriptional ‘hallmarks of ageing’, that are commonly described as progressively affected as time passes. By contrast, the ‘Smurf’ assay separates high‐and‐constant‐mortality risk individuals from healthy, zero‐mortality risk individuals, based on increased intestinal permeability. Performing whole body total RNA sequencing, we found that Smurfness distinguishes transcriptional changes associated with chronological age from those associated with biological age. We show that transcriptional heterogeneity increases with chronological age in non‐Smurf individuals preceding the other five hallmarks of ageing that are specifically associated with the Smurf state. Using this approach, we also devise targeted pro‐longevity genetic interventions delaying entry in the Smurf state. We anticipate that increased attention to the evolutionary conserved Smurf phenotype will bring about significant advances in our understanding of the mechanisms of ageing. |
format | Online Article Text |
id | pubmed-10652310 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106523102023-10-12 Smurfness‐based two‐phase model of ageing helps deconvolve the ageing transcriptional signature Zane, Flaminia Bouzid, Hayet Sosa Marmol, Sofia Brazane, Mira Besse, Savandara Molina, Julia Lisa Cansell, Céline Aprahamian, Fanny Durand, Sylvère Ayache, Jessica Antoniewski, Christophe Todd, Nicolas Carré, Clément Rera, Michael Aging Cell Research Articles Ageing is characterised at the molecular level by six transcriptional ‘hallmarks of ageing’, that are commonly described as progressively affected as time passes. By contrast, the ‘Smurf’ assay separates high‐and‐constant‐mortality risk individuals from healthy, zero‐mortality risk individuals, based on increased intestinal permeability. Performing whole body total RNA sequencing, we found that Smurfness distinguishes transcriptional changes associated with chronological age from those associated with biological age. We show that transcriptional heterogeneity increases with chronological age in non‐Smurf individuals preceding the other five hallmarks of ageing that are specifically associated with the Smurf state. Using this approach, we also devise targeted pro‐longevity genetic interventions delaying entry in the Smurf state. We anticipate that increased attention to the evolutionary conserved Smurf phenotype will bring about significant advances in our understanding of the mechanisms of ageing. John Wiley and Sons Inc. 2023-10-12 /pmc/articles/PMC10652310/ /pubmed/37822253 http://dx.doi.org/10.1111/acel.13946 Text en © 2023 The Authors. Aging Cell published by Anatomical Society and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Zane, Flaminia Bouzid, Hayet Sosa Marmol, Sofia Brazane, Mira Besse, Savandara Molina, Julia Lisa Cansell, Céline Aprahamian, Fanny Durand, Sylvère Ayache, Jessica Antoniewski, Christophe Todd, Nicolas Carré, Clément Rera, Michael Smurfness‐based two‐phase model of ageing helps deconvolve the ageing transcriptional signature |
title | Smurfness‐based two‐phase model of ageing helps deconvolve the ageing transcriptional signature |
title_full | Smurfness‐based two‐phase model of ageing helps deconvolve the ageing transcriptional signature |
title_fullStr | Smurfness‐based two‐phase model of ageing helps deconvolve the ageing transcriptional signature |
title_full_unstemmed | Smurfness‐based two‐phase model of ageing helps deconvolve the ageing transcriptional signature |
title_short | Smurfness‐based two‐phase model of ageing helps deconvolve the ageing transcriptional signature |
title_sort | smurfness‐based two‐phase model of ageing helps deconvolve the ageing transcriptional signature |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652310/ https://www.ncbi.nlm.nih.gov/pubmed/37822253 http://dx.doi.org/10.1111/acel.13946 |
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